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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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DTSTART:20171029T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
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BEGIN:DAYLIGHT
DTSTART:20170326T020000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RDATE:20180325T020000
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UID:calendar.12437.field_data.0@www.u-gov-ricerca.uniroma1.it
DTSTAMP:20260411T114446Z
CREATED:20170904T204554Z
DESCRIPTION:Caching is a popular technique for bringing data closer to appl
 ications that are geographically distributed. I will present Apollo\, our 
 system that can learn data access patterns exhibited by applications to id
 entify results of queries that\, when predictively executed\, can increase
  cache hit ratios and improve performance.Bio: Khuzaima Daudjee's research
  interests are in designing and building large-scale distributed systems w
 ith a focus on storage systems\, database systems and graph processing sys
 tems. He has served on program committees of conferences such as ICDCS\, V
 LDB\, Middleware and is the recipient of a best paper award at the ACM Sym
 posium on Cloud Computing.
DTSTART;TZID=Europe/Paris:20170914T120000
DTEND;TZID=Europe/Paris:20170914T120000
LAST-MODIFIED:20230710T173816Z
LOCATION:DIAG - Aula Magna
SUMMARY:Learning to Cache through Predictive Execution - Khuzaima Daudjee\,
  University of Waterloo
URL;TYPE=URI:http://www.u-gov-ricerca.uniroma1.it/node/12437
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